Privacy- Preserving Prosumer Profiling using Smart Meter Data

Ankita Sharma

doi:10.1016/j.segan.2025.101784

Privacy- Preserving Prosumer Profiling using Smart Meter Data

2025-07-01

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DOI：10.1016/j.segan.2025.101784

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• Local energy markets necessitate prosumer profiling, where smart meter data is used to assess energy consumption and production patterns. • Smart meter data raises privacy concerns as it reveals user’s sensitive information. • Proposing a privacy-preserving autoencoder-based collaborative training model for smart meter data. • Two clustering methods, k-means and agglomerative clustering, are investigated on various evaluation metrics.

Privacy- Preserving Prosumer Profiling using Smart Meter Data

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